Abstract
Background
Non-melanoma Skin cancer, or Keratinocyte Carcinoma (KC) is the most common malignancy and the 5th most costly cancer to Medicare. Several treatment types are effective, but treatments differ in cost and burden to patients. Because KCs do not typically affect survival, and most do not effect quality of life, we would expect lower frequency of intensive surgical treatments in patients with limited life expectancy.
Objectives
To examine whether life expectancy influences treatment pattern.
Design and Setting
We analyzed data from the nationally representative Health and Retirement Survey, linked to Medicare claims.
Participants
We included 9,653 treatments from N=2702 patients ≥65 years treated for either basal or squamous cell carcinoma between 1992 and 2012. Limited life expectancy defined by advanced age >85, medical comorbidities, Charlson score of ≥3, difficulty in at least one activity of daily living (ADL) and Lee index ≥13.
Measurements
Treatment type, including Mohs micrographic surgery (most intensive, highest cost), excision, or ED&C (least intensive, lowest cost) by procedure codes.
Results
Most KCs (61%) were treated surgically. Rates of Mohs (19%), excision (42%) and ED&C (39%) were no different in patients with limited life expectancy compared to those with normal life expectancy. For example, 19% of patients with difficulty or dependence in ADLs, 20% of patients with a Charlson score >3 and 15% of patients in their last year of life, received Mohs surgery. In addition, patients who ultimately died within 1 year of diagnosis were treated in the same way as those who lived longer.
Conclusion
Treatment for KC, a generally non-fatal condition, appears to be guided by a one-size-fits-all approach in which advanced age, health status, functional status, or prognosis are not associated with intensiveness of treatment. While intensive treatment for skin cancer may be indicated regardless of life expectancy when they cause symptoms, persons with limited life expectancy should be given choices, to ensure the treatment matches their goals and preferences.
Keywords: Skin cancer, Basal cell carcinoma, Squamous cell carcinoma, End of life
INTRODUCTION
Keratinocyte carcinoma (KC) including basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) is by far the most common cancer in the United States,(1) with over 3.5 million new cases treated each year.(2) A range of treatments that vary in invasiveness and cost can effectively treat most KCs. Common treatments include topical chemotherapy creams, tumor destruction with electrodessication and curettage (ED&C), or surgery. Surgery for KC can involve either simple excision, or Mohs micrographic surgery. The rationale for Mohs is that it aims to remove as much of the skin cancer as possible and prevent tumor recurrence, which for these typically slow-growing tumors occurs several years later (mean 3.3 years).(3) Although randomized trial data is limited, prospective cohort studies suggest that all surgical treatments offer >95% cure rates for primary tumors.(3)
When choosing among treatments with comparable clinical outcomes, considerations of cost, risks, procedure duration and patient preference matter. Mohs costs about twice as much as excision, which is about twice as expensive as ED&C.(4) Mohs also takes an average of 3 hours (up to 8 hours with repair), compared to an average of 1 hour for surgical excision or 20 minutes for ED&C.(5) Complications and patient-reported problems after these treatments are common, especially in elderly patients.(6) Medical problems with treatment including bleeding, pain and poor wound healing, are reported by 14% of patients,(6) and usually occur within the first year of treatment, while the potential benefit of more intensive treatment in preventing recurrence is several years in the future. This lag-time to benefit is an increasingly important consideration when making healthcare decisions in elderly individuals who may not live long enough to benefit from more intensive treatments, but may be at risk for short-term treatment related complications.(7, 8)
In some cases, KCs cause distress to patients, either because its location causes cosmetic concerns, or because it leads to symptoms. In these situations, even in patients with severe comorbidity, the most intensive treatment option is clearly appropriate if it is best treats KC related symptoms. However, previous research demonstrates that the large proportion of skin cancers cause no symptoms, and many are discovered incidentally. For the majority of skin cancer that causes no or minimal symptoms, a patient’s life expectancy should be a fundamental determinant of procedure choice in an older patients with skin cancer for two reasons a) patients with limited life expectancy often prefer more conservative treatment choices and b) patients with limited life expectancy may not live long enough to benefit from intensive treatments when there is significant time lag to benefit. Therefore, we would expect to see lower rates of Mohs surgery in patients at the end of life.
Although KC is the fifth most costly cancer for Medicare (over $500 million annually),(9, 10) only one single-city study has examined how prognostic characteristics of older patients impact treatment selection for this cancer.(11) We conducted this national study in order to examine whether patients with limited life expectancy were more likely to receive less invasive treatments. We took advantage of a national representative study linked to Medicare claims that had extensive information on patient characteristics that strongly impact life expectancy.
METHODS
Population
The Health and Retirement Study (HRS) is sponsored by the National Institute on Aging (grant number NIA U01AG009740) and is conducted by the University of Michigan. It is an ongoing nationally representative longitudinal study of the health of community-dwelling participants aged 50 and older that started in 1992. New participants are recruited to the study every six years in order to keep the study representative of US population. Interviews are administered over the telephone or in person every 2 years. Proxy respondents are asked to provide the answers for participants with physical or cognitive limitations. HRS collects information on financial, social, medical and functional status.
Our objective was to compare treatment patterns for KC according to individual prognostic characteristics in a nationally representative sample of older adults. Over 80% of HRS participants agree to have their Medicare claims linked to their HRS interviews.(12) Medicare claims data was available for years 1992 – 2008. Since the cancer treatments were ascertained from Medicare claims, our study is focused on participants 65 years or older who were eligible for Medicare and who had HRS data linked to Medicare claims data. We included subjects who had at least 1 year of Medicar1e claims data prior to the skin cancer claim..
Skin cancer treatment
The primary outcome was skin cancer treatment, defined based on both ICD-9 and procedure code. Skin cancer diagnosis was defined by ICD9 codes 232.xx or 173.xx. We looked at three different types of treatments: excision, ED&C and Mohs micrographic surgery. All procedures were identified in Outpatient and Carrier files using following HCPC procedure codes: Excisions (11600–11606, 11620–11626, 11640–11646, 26117, 11750); ED&C (17260–17266, 17270–17276, 17280–17286); Mohs micrographic surgery (17311, 17313, 17304).(13) Although radiation therapy for BCCs is becoming more common, this treatment modality was extremely rare in our study period, and not included.
We identified a total of 10739 Medicare claims that reported at least one potential skin cancer treatment. We excluded claims for which there was no ICD-9 diagnosis of skin cancer in the 90 days before the claim (n=1893, 17%) from the study. We excluded an additional 618 (6%) claims because there was no corresponding HRS interview within one wave before the claim. We limited our analysis to white participants (excluded N=164, 1.5% claims from non-white participants). Each patient could have multiple claims (because skin cancer patients tend to get multiple tumors) and each claim could have more than one treatment (e.g. two skin cancers removed at the same visit). Our final sample included 8064 Medicare claims for skin cancer treatment, corresponding to 9653 distinct treatments from 2702 individual patients (Figure 1).
Figure 1.
Study flow chart
Prognostic characteristics
We considered a number of variables for which there is strong evidence of a link to limited life expectancy in older patients:
Advanced age, defined as ≥ 85 years, which is associated with a life expectancy of 6 years.(14)
Comorbid disease burden, considering individual diagnoses (heart disease, stroke, cancer, lung disease, diabetes and hypertension identified by self report) and Charlson comorbidity score, an index of disease burden closely linked to survival(15). Charlson score was derived from Medicare claims data.
Self-reported independence in activities of daily living (ADLs, which include ability to bathe, dress, walk across a room, transfer in and out of bed, use the toilet, and eat). We classified subjects as having no difficulty in ADL function, having difficulty with one or more ADL, but able to do ADL without help, or needing help with at least one ADL (ADL dependence). This classification has been previously validated and strongly linked to survival.(16)
Lee Index score, a validated prognostic score combining information on age and comorbidities and function which is strongly linked to survival.(17) We classified subjects as having a score either above or below 13—a score of 13 is associated with 59% mortality at 4 years and 91% at 10 years. The prognostic indices used including the Charlson and Lee Index and ADL assessments have been extensively validated prognostic indices (14–17).
Statistical Analysis
We first performed descriptive analyses, summarizing the characteristics of our sample and the prevalence of the three treatments. Next, we did bivariate and multivariate analyses to examine the relationship between various prognostic characteristics and proportions of the 3 procedures included. Because surgery is more intensive than non-surgical treatments, we compared the rates of surgical procedures (excision and Mohs) and non-surgical procedures (ED&C). We also calculated differences between Mohs and non-Mohs procedures. Bivariate analyses used chi square tests. In order to directly estimate risk ratios instead of odds ratios, we used modified Poisson regression in multivariate analysis. (18) (19) All analyses were done at the skin cancer treatment level, but also accounted for clustering of treatments within individual patients. Our multivariate analyses used treatment choice as the outcome variable and the following predictor variables: age (<75, 75–85, ≥ 85), gender, income and net worth (dichotomized at median), comorbid conditions and functional status (not dependent in any, dependent in one, dependent in two or more). Analyses were performed using SAS 9.3 and Stata 12.1.
RESULTS
Table 1 shows the descriptive characteristics of the study participants (N=9653 claims from N=2702 patients). Most patients were older men (63% men, mean age 79 years) with sociodemographic and medical characteristics representative of this age group nationally. Nineteen percent of participants had some difficulty in at least one activity of daily living, 30% had a Charlson score of ≥3 and 14% had a Lee index of ≥13.
Table 1.
Characteristics of N= 2702 participants treated for skin cancer 1992–2008, N=9653 skin cancer treatments
| Demographic Characteristics | % or mean (IQR) |
|---|---|
| Gender, Male | 62.9% |
| Age, years | 79.2 (range 65–106) |
| Income, $1000s | 37 (22–66) |
| Wealth, $1000s | 330 (127–775) |
|
| |
| Comorbid diseases | |
|
| |
| Hypertension | 57.4% |
| Diabetes | 14.8% |
| Lung Disease | 9.2% |
| Cancer (except skin) | 24.9% |
| Stroke | 12.6% |
| Heart Disease | 36.6% |
|
| |
| Activities of Daily Living (ADL) | |
|
| |
| No Difficulty in any ADLs | 80.6% |
| Difficulty in at least one ADL | 12.6% |
| Dependent in at least one ADL | 6.8% |
|
| |
| Dressing | |
|
| |
| No Difficulty | 90.5% |
| Difficulty | 5.3% |
| Dependent | 4.2% |
|
| |
| Eating | |
|
| |
| No Difficulty | 96.6% |
| Difficulty | 1.5% |
| Dependent | 1.9% |
|
| |
| Bathing | |
|
| |
| No Difficulty | 93.4% |
| Difficulty | 2.8% |
| Dependent | 3.8% |
|
| |
| Using toilet | |
|
| |
| No Difficulty | 93.5% |
| Difficulty | 4.9% |
| Dependent | 1.6% |
|
| |
| Walking Across Room | |
|
| |
| No Difficulty | 92.2% |
| Difficulty | 5.0% |
| Dependent | 2.8% |
|
| |
| Transferring in/out of bed | |
|
| |
| No Difficulty | 95.0% |
| Difficulty | 2.9% |
| Dependent | 2.1% |
|
| |
| Prognostic indices | |
|
| |
| Charlson(15) | |
|
| |
| <3 | 70.1% |
| ≥3 | 29.9% |
|
| |
| Lee Index(17) | |
|
| |
| <13 | 85.6% |
| ≥13 | 14.4% |
Table 2 shows the proportion of patients in the sample treated with each of the 3 most common procedures. Overall 61% of tumors underwent surgery: 19% underwent Mohs surgery and 42% underwent excision. The remaining 39% were treated with ED&C. No significant difference was noted in treatment rates in groups divided according to patient advanced age, medical comorbidities, indicators of limited life expectancy, or difficulty or dependence in activities of daily living. Among patients who ultimately died within 1 year of treatment, 15% received Mohs surgery (compared to 17% among those who lived longer p=0.34 ) and 51% received excision (compared to 43% of those who lived longer p=0.06).
Table 2.
Proportion of patients treated with each of the 3 most common procedures
| N | Mohs | Excision | ED&C | p-value1 | |
|---|---|---|---|---|---|
| OVERALL | 9653 | 1796 | 4066 | 3791 | |
|
| |||||
| Age | |||||
| <75 | 2979 | 18.9% | 43.1% | 38.0% | 0.34 |
| 75–85 | 4403 | 17.4% | 41.7% | 40.9% | |
| ≥ 85 | 2271 | 20.6% | 41.7% | 37.7% | |
|
| |||||
| Last year of life | |||||
|
| |||||
| No | 8051 | 17.2% | 42.9% | 39.9% | 0.34 |
| Yes | 451 | 14.9% | 51.2% | 33.9% | |
|
| |||||
| Comorbidities | |||||
|
| |||||
| Hypertension | |||||
| No | 4110 | 18.3% | 42.7% | 39.0% | 0.81 |
| Yes | 5540 | 18.8% | 41.7% | 39.5% | |
| Diabetes | |||||
| No | 8219 | 18.1% | 42.0% | 40.0% | 0.07 |
| Yes | 1432 | 21.7% | 43.0% | 35.3% | |
| Lung Disease | |||||
| No | 8763 | 18.4% | 42.1% | 39.5% | 0.32 |
| Yes | 888 | 20.9% | 42.0% | 37.0% | |
| Cancer (except skin) | |||||
| No | 7234 | 18.0% | 42.5% | 39.5% | 0.15 |
| Yes | 2400 | 20.5% | 41.2% | 38.3% | |
| Stroke | |||||
| No | 8435 | 18.4% | 42.6% | 39.0% | 0.50 |
| Yes | 1214 | 20.0% | 38.6% | 41.4% | |
| Heart Disease | |||||
| No | 6116 | 17.8% | 43.8% | 38.4% | 0.20 |
| Yes | 3532 | 20.1% | 39.2% | 40.7% | |
|
| |||||
| Prognostic Indices | |||||
|
| |||||
| Lee Index | |||||
| <13 | 8266 | 18.6% | 41.9% | 39.5% | 0.93 |
| ≥13 | 1387 | 26.0% | 43.3% | 37.9% | |
| Charlson | |||||
| <3 | 6764 | 17.7% | 42.0% | 40.3% | 0.08 |
| ≥3 | 2889 | 20.6% | 42.5% | 36.9% | |
|
| |||||
| Activities of Daily Living | |||||
|
| |||||
| Summary | |||||
|
| |||||
| No Difficulty | 7778 | 18.6% | 42.6% | 38.8% | 0.90 |
| Difficulty/dependent | 1859 | 18.8% | 39.9% | 41.3% | |
|
| |||||
| Bathing | |||||
|
| |||||
| No Difficulty | 8989 | 18.7% | 42.0% | 39.3% | 0.44 |
| Difficulty/dependent | 640 | 16.9% | 43.3% | 39.8% | |
|
| |||||
| Dressing | |||||
|
| |||||
| No Difficulty | 8713 | 18.3% | 42.3% | 39.4% | 0.33 |
| Difficulty/dependent | 916 | 21.1% | 40.4% | 38.5% | |
|
| |||||
| Eating | |||||
|
| |||||
| No Difficulty | 9296 | 18.7% | 42.2% | 39.1% | 0.45 |
| Difficulty/dependent | 332 | 16.3% | 38.9% | 44.9% | |
|
| |||||
| Transferring in/out of bed | |||||
|
| |||||
| No Difficulty | 9149 | 18.5% | 42.2% | 39.3% | 0.253 |
| Difficulty/dependent | 482 | 21.6% | 39.0% | 39.4% | |
|
| |||||
| Using toilet | |||||
|
| |||||
| No Difficulty | 8968 | 18.8% | 42.4% | 38.8% | 0.41 |
| Difficulty/dependent | 628 | 16.6% | 36.6% | 46.8% | |
|
| |||||
| Walking across room | |||||
|
| |||||
| No Difficulty | 8873 | 18.6% | 42.1% | 39.3% | 0.93 |
| Difficulty/dependent | 751 | 18.9% | 41.0% | 40.1% | |
P value for comparison of those that received Mohs treatment and those that did not receive Mohs treatment.
The multivariate relative risk (RR) of receiving Mohs comparing patients with and without limited life expectancy, did not differ from 1, even after adjusting for age, gender, socioeconomic status, medical comorbidities and ability to perform activities of daily living (Supplementary Table 3).
DISCUSSION
Choice of treatment for basal and squamous cell skin cancer should be influenced, at least in part, by patient life expectancy because KC is a non-fatal disease where the risks of intensive treatment may outweigh the benefits in some patients who have few years to live. In this nationally representative study of older Americans, we found that choices among types of KC treatments were not influenced by individual prognostic characteristics. In particular, patient life expectancy whether measured by advanced age, severe medical comorbidities or impaired functional status, does not seem to influence treatment choice, including the rates of Mohs surgery. We noted similar rates of Mohs surgery and higher rates of excision in patients who ultimately died within 1 year of treatment compared to those who lived longer. Together, these findings suggest that currently skin cancer treatment choice may not be tailored to the life expectancy and functional status of individual patients.
These findings build on our prior single-city study showing that treatment choice was not influenced by patient life expectancy even after adjusting for tumor characteristics (histology, location, degree of invasiveness). In our prior study, we found that most patients are not often bothered by their tumors (72%),(6) fewer than 5% of these tumors recur regardless of treatment type(3) and many patients die of unrelated causes within 5 years (43%), while no patients died of KC.(6) Meanwhile, a significant proportion of patients report a problem after treatment procedures (27%).(6)
We acknowledge that there are selected circumstances in which a KC should be treated aggressively, even in patients with limited life expectancy. In some cases, a KC can cause cosmetic distress or symptoms or ulcerate. Even is such a KC does not impact life expectancy, whichever treatment best treats the symptoms is indicated. Our claims data did not have information on symptoms, and therefore, some of the Moh’s resections may have been indicated, even in those with limited life expectancy. However, prior research demonstrates that the majority of KCs cause no symptoms, and in this case, treatments that are the least burdensome to the patient should be given special consideration.
A major limitation of this study is that we only included skin cancers that were treated by a procedure; since our sample was defined by Medicare procedure codes. Therefore untreated tumors, and tumors treated by topical therapies (e.g. Imiquimod) or radiotherapy are not included. Because our dataset did not include untreated tumors, these findings pertain to decision making after a decision to treat a tumor—they do not deal with the decision to treat itself. However, based on other studies, the proportion of untreated tumors in the US is likely very small (20) (11)and imiquimod and radiotherapy were very rare modes of treatment in the years studied. While we show that limited life expectancy is not associated with treatment decisions, a limitation of this study is that we could not assess whether the treatments offered were appropriate. It is possible invasive procedures were appropriate, even at the end of life, because they were used on medically dangerous or symptomatic tumors. We did not have information on many factors that may have influenced treatment choices including tumor histology, location or size. We also did not have information on patient preferences, and it is possible that some elderly patients would have requested more intensive treatment options for their BCCs. Furthermore, we only evaluated procedures for KC and not the more recent topical treatments including Imiquimod and 5-fluorouracil. Our KC selection criteria relied on procedure codes, and therefore would not capture untreated tumors, although we expect this is a very small proportion of KCs.(11) We also did not have information on the specialties of physicians treating these tumors.
Despite these limitations, the main advantage of this study is that it includes nationally representative data spanning 16 years. Taken together with our prior cohort study, which did include detailed information on tumor and individual patient characteristics(11) including bother we likely have an accurate picture of US patterns of skin cancer treatment in patients with differing life expectancies. Determining appropriate care of non-fatal conditions for patients with limited life expectancy is challenging.(21) For example, rates of prostate cancer screening in patients with limited life expectancy are probably excessive, given the known risks of screening and limited benefits of treatment.(22, 23) Similarly, a significant proportion of patients with metastatic cancer receive routine screening tests that are unlikely to provide any benefit.(24) A study of Medicare beneficiaries showed that over 30% of patients underwent surgery in the last year of life.(25) Our study adds to the growing argument for prudent use of procedures toward the end of life.
Conclusion
In conclusion, choice of treatment for basal and squamous cell skin cancer is unaffected by many patient characteristics including advanced age, functional status, medical comorbidities or patient life expectancy. A more individualized approach to skin cancer treatment may be preferred and provide more optimal care for frail elderly patients. Although it is impossible to predict any individual’s precise life expectancy, and advanced age alone should not dictate or restrict treatment options as life expectancy varies tremendously among those of similar age, it is possible that some patients would chose less invasive treatments if they were given all relevant information. It is also possible that physicians would make different recommendations if they had more guidance (including decision tools or evidence based guidelines) on this topic. We hope that this study will add to the debate about optimal treatment decisions at the end of life.
Supplementary Material
Acknowledgments
Funding: This work was supported by the National Institute of Health through the National Center for Research Resources (grant number KL2RR024130 to EL); the National Institute of Arthritis and Musculoskeletal and Skin Diseases (grant numbers K24 AR052667 and R01 AR 054983 to MMC); the National Institute of Nursing Research (grant number R01 NR013347 to KC); and the Claude D. Pepper Older Americans Independence Center at the National Institute of Health and the National Institute on Aging (grant number P30 AG044281 to KC).
Footnotes
Conflict of Interests: Dr. Mary-Margaret Chren is a consultant for the Genentech Corporation. No other authors have conflicts of interest with the material in this article.
Author Contributions: All authors contributed to this paper.
Sponsor’s Role: None.
References
- 1.Society AC, editor. Cancer Facts and Figures 2010. Atlanta: American Cancer Society; 2010. [Google Scholar]
- 2.Rogers HW, Weinstock MA, Harris AR, et al. Incidence estimate of nonmelanoma skin cancer in the United States, 2006. Arch Dermatol. 2010;146:283–287. doi: 10.1001/archdermatol.2010.19. [DOI] [PubMed] [Google Scholar]
- 3.Chren MM, Linos E, Torres JS, et al. Tumor recurrence 5 years after treatment of cutaneous basal cell carcinoma and squamous cell carcinoma. J Invest Dermatol. 2013;133:1188–9116. doi: 10.1038/jid.2012.403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Wilson LP, Bertenthal MW, Koplowicz D, et al. Comparison of surgical treatment costs of nonmelanoma skin cancer patients in a university-affiliated practice. Presented at International Society for Pharmacoeconomics and Outcomes Research 13th Annual International Meeting; Toronto, ON, Canada. 2008. [Abstract]. In press. [Google Scholar]
- 5.Essers BA, Dirksen CD, Nieman FH, et al. Cost-effectiveness of Mohs micrographic surgery vs surgical excision for basal cell carcinoma of the face. Arch Dermatol. 2006;142(2):187–94. doi: 10.1001/archderm.142.2.187. [DOI] [PubMed] [Google Scholar]
- 6.Linos E, Wehner MR, Frosch DL, Walter L, Chren MM. Patient-reported problems after office procedures. JAMA internal medicine. 2013;173(13):1249–50. doi: 10.1001/jamainternmed.2013.1040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Lee SJ, Leipzig RM, Walter LC. INcorporating lag time to benefit into prevention decisions for older adults. JAMA. 2013;310:2609–2610. doi: 10.1001/jama.2013.282612. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Lee SJ, Boscardin WJ, Stijacic-Cenzer I, et al. Time lag to benefit after screening for breast and colorectal cancer: Meta-analysis of survival data from the United States, Sweden, United Kingdom, and Denmark. BMJ. 2013:346. doi: 10.1136/bmj.e8441. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Housman TS, Feldman SR, Williford PM, et al. Skin cancer is among the most costly of all cancers to treat for the Medicare population. J Am Acad Dermatol. 2003;48:425–429. doi: 10.1067/mjd.2003.186. [DOI] [PubMed] [Google Scholar]
- 10.Mudigonda T, Pearce DJ, Yentzer BA, et al. The economic impact of non-melanoma skin cancer: a review. J Natl Compr Canc Netw. 2010;8:888–896. doi: 10.6004/jnccn.2010.0066. [DOI] [PubMed] [Google Scholar]
- 11.Linos E, Parvataneni R, Stuart SE, et al. Treatment of nonfatal conditions at the end of life: nonmelanoma skin cancer. JAMA. 2013;173:1006–1012. doi: 10.1001/jamainternmed.2013.639. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Health and Retirement Study, Medicare and Summary Data. Ann Arbor, MI: Produced and distributed by the University of Michigan with funding from the National Institute on Aging; 2013. (grant number NIA U01AG0097) [Google Scholar]
- 13.System CfMaMSHCPC. [Accessed 9/30/2013];2013: Alpha-Numeric HCPCS File. 2013 http://www.cms.gov/Medicare/Coding/HCPCSReleaseCodeSets/Alpha-Numeric-HCPCS.html.
- 14.Arias E. United States life tables, 2008. National vital statistics reports : from the Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System. 2012;61(3) [PubMed] [Google Scholar]
- 15.Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. J Chronic Dis. 1987;40:373–383. doi: 10.1016/0021-9681(87)90171-8. [DOI] [PubMed] [Google Scholar]
- 16.Katz S, Ford AB, Moskowitz RW, et al. Studies of illness in the aged: The index of ADL: A standardized measure of biological and psychosocial function. JAMA. 1963;185:914–919. doi: 10.1001/jama.1963.03060120024016. [DOI] [PubMed] [Google Scholar]
- 17.Lee SJ, Lindquist K, Segal MR, et al. Development and validation of a prognostic index for 4-year mortality in older adults. JAMA. 2006;295:801–808. doi: 10.1001/jama.295.7.801. [DOI] [PubMed] [Google Scholar]
- 18.Spiegelman D, Hertzmark E. Easy SAS calculations for risk or prevalence ratios and differences. Am J Epidemiol. 2005;162:199–200. doi: 10.1093/aje/kwi188. [DOI] [PubMed] [Google Scholar]
- 19.Zou G. A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159:702–706. doi: 10.1093/aje/kwh090. [DOI] [PubMed] [Google Scholar]
- 20.Rieger KE, Linos E, Egbert BM, et al. Recurrence rates associated with incompletely excised low-risk nonmelanoma skin cancer. J Cutan Pathol. 2010;37:59–67. doi: 10.1111/j.1600-0560.2009.01340.x. [DOI] [PubMed] [Google Scholar]
- 21.Fuchs VR. The doctor’s dilemma--what is “appropriate” care? New Engl J Med. 2011;365:585–587. doi: 10.1056/NEJMp1107283. [DOI] [PubMed] [Google Scholar]
- 22.Walter LC, Bertenthal D, Lindquist K, et al. PSA screening among elderly men with limited life expectancies. JAMA. 2006;296:2336–2342. doi: 10.1001/jama.296.19.2336. [DOI] [PubMed] [Google Scholar]
- 23.Walter LC, Covinsky KE. Cancer screening in elderly patients: A framework for individualized decision making. JAMA. 2001;285:2750–2756. doi: 10.1001/jama.285.21.2750. [DOI] [PubMed] [Google Scholar]
- 24.Sima CS, Panageas KS, Schrag D. Cancer screening among patients with advanced cancer. JAMA. 2010;304:1584–1591. doi: 10.1001/jama.2010.1449. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Kwok AC, Semel ME, Lipsitz SR, et al. The intensity and variation of surgical care at the end of life: A retrospective cohort study. Lancet. 2011;378:1408–1413. doi: 10.1016/S0140-6736(11)61268-3. [DOI] [PubMed] [Google Scholar]
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